Title :
Special factor backtracking algorithm for optimizing
Author :
Li, Wang ; Dong, Li
Author_Institution :
Comput. Center of Qiqihar Univ., Qiqihar, China
Abstract :
The ant colony algorithm has slow convergence speed and very easily falls in local optimal solutions. Based on the Max-Min Ant System and the mutation ant colony algorithm, a special factor backtracking algorithm has been developed in this work and is used after ant colony algorithm for optimal solutions. The experiments show that 2 percentage can be achieved by a special factor backtracking algorithm.
Keywords :
backtracking; convergence; minimax techniques; maxmin ant system; mutation ant colony algorithm; special factor backtracking algorithm; Intelligent computing; and special factor backtracking algorithm; ant colony algorithm; local optimal solution;
Conference_Titel :
Intelligent Computing and Integrated Systems (ICISS), 2010 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-6834-8
DOI :
10.1109/ICISS.2010.5655001
